1. 程式人生 > >大資料(四十一)機器學習【多元線性迴歸例項】

大資料(四十一)機器學習【多元線性迴歸例項】

一、前言

        保險公司對個人投保時或根據歷史資料生成的模型來計算個人保費,那麼本次我們就以這個模型的求解過程為例來實踐下多元線性迴歸。

二、資料&簡單分析

        我們已經獲取到保險公司部分資料,檔名為insurance.csv,檔案內容如下。

        我們可以看出資料中共有六個維度:age(年齡),sex(性別),bmi(肥胖指數),children(孩子數量),smoker(是否吸菸),region(居住地)。charges則是當前資料人上年度在醫院的花銷。

        所以我們可以構建一個六維高維空間來求解這個模型。

age,sex,bmi,children,smoker,region,charges
19,female,27.9,0,yes,southwest,16884.924
18,male,33.77,1,no,southeast,1725.5523
28,male,33,3,no,southeast,4449.462
33,male,22.705,0,no,northwest,21984.47061
32,male,28.88,0,no,northwest,3866.8552
31,female,25.74,0,no,southeast,3756.6216
46,female,33.44,1,no,southeast,8240.5896
37,female,27.74,3,no,northwest,7281.5056
37,male,29.83,2,no,northeast,6406.4107
60,female,25.84,0,no,northwest,28923.13692
25,male,26.22,0,no,northeast,2721.3208
62,female,26.29,0,yes,southeast,27808.7251
23,male,34.4,0,no,southwest,1826.843
56,female,39.82,0,no,southeast,11090.7178
27,male,42.13,0,yes,southeast,39611.7577
19,male,24.6,1,no,southwest,1837.237
52,female,30.78,1,no,northeast,10797.3362
23,male,23.845,0,no,northeast,2395.17155
56,male,40.3,0,no,southwest,10602.385
30,male,35.3,0,yes,southwest,36837.467
60,female,36.005,0,no,northeast,13228.84695
30,female,32.4,1,no,southwest,4149.736
18,male,34.1,0,no,southeast,1137.011
34,female,31.92,1,yes,northeast,37701.8768
37,male,28.025,2,no,northwest,6203.90175
59,female,27.72,3,no,southeast,14001.1338
63,female,23.085,0,no,northeast,14451.83515
55,female,32.775,2,no,northwest,12268.63225
23,male,17.385,1,no,northwest,2775.19215
31,male,36.3,2,yes,southwest,38711
22,male,35.6,0,yes,southwest,35585.576
18,female,26.315,0,no,northeast,2198.18985
19,female,28.6,5,no,southwest,4687.797
63,male,28.31,0,no,northwest,13770.0979
28,male,36.4,1,yes,southwest,51194.55914
19,male,20.425,0,no,northwest,1625.43375
62,female,32.965,3,no,northwest,15612.19335
26,male,20.8,0,no,southwest,2302.3
35,male,36.67,1,yes,northeast,39774.2763
60,male,39.9,0,yes,southwest,48173.361
24,female,26.6,0,no,northeast,3046.062
31,female,36.63,2,no,southeast,4949.7587
41,male,21.78,1,no,southeast,6272.4772
37,female,30.8,2,no,southeast,6313.759
38,male,37.05,1,no,northeast,6079.6715
55,male,37.3,0,no,southwest,20630.28351
18,female,38.665,2,no,northeast,3393.35635
28,female,34.77,0,no,northwest,3556.9223
60,female,24.53,0,no,southeast,12629.8967
36,male,35.2,1,yes,southeast,38709.176
18,female,35.625,0,no,northeast,2211.13075
21,female,33.63,2,no,northwest,3579.8287
48,male,28,1,yes,southwest,23568.272
36,male,34.43,0,yes,southeast,37742.5757
40,female,28.69,3,no,northwest,8059.6791
58,male,36.955,2,yes,northwest,47496.49445
58,female,31.825,2,no,northeast,13607.36875
18,male,31.68,2,yes,southeast,34303.1672
53,female,22.88,1,yes,southeast,23244.7902
34,female,37.335,2,no,northwest,5989.52365
43,male,27.36,3,no,northeast,8606.2174
25,male,33.66,4,no,southeast,4504.6624
64,male,24.7,1,no,northwest,30166.61817
28,female,25.935,1,no,northwest,4133.64165
20,female,22.42,0,yes,northwest,14711.7438
19,female,28.9,0,no,southwest,1743.214
61,female,39.1,2,no,southwest,14235.072
40,male,26.315,1,no,northwest,6389.37785
40,female,36.19,0,no,southeast,5920.1041
28,male,23.98,3,yes,southeast,17663.1442
27,female,24.75,0,yes,southeast,16577.7795
31,male,28.5,5,no,northeast,6799.458
53,female,28.1,3,no,southwest,11741.726
58,male,32.01,1,no,southeast,11946.6259
44,male,27.4,2,no,southwest,7726.854
57,male,34.01,0,no,northwest,11356.6609
29,female,29.59,1,no,southeast,3947.4131
21,male,35.53,0,no,southeast,1532.4697
22,female,39.805,0,no,northeast,2755.02095
41,female,32.965,0,no,northwest,6571.02435
31,male,26.885,1,no,northeast,4441.21315
45,female,38.285,0,no,northeast,7935.29115
22,male,37.62,1,yes,southeast,37165.1638
48,female,41.23,4,no,northwest,11033.6617
37,female,34.8,2,yes,southwest,39836.519
45,male,22.895,2,yes,northwest,21098.55405
57,female,31.16,0,yes,northwest,43578.9394
56,female,27.2,0,no,southwest,11073.176
46,female,27.74,0,no,northwest,8026.6666
55,female,26.98,0,no,northwest,11082.5772
21,female,39.49,0,no,southeast,2026.9741
53,female,24.795,1,no,northwest,10942.13205
59,male,29.83,3,yes,northeast,30184.9367
35,male,34.77,2,no,northwest,5729.0053
64,female,31.3,2,yes,southwest,47291.055
28,female,37.62,1,no,southeast,3766.8838
54,female,30.8,3,no,southwest,12105.32
55,male,38.28,0,no,southeast,10226.2842
56,male,19.95,0,yes,northeast,22412.6485
38,male,19.3,0,yes,southwest,15820.699
41,female,31.6,0,no,southwest,6186.127
30,male,25.46,0,no,northeast,3645.0894
18,female,30.115,0,no,northeast,21344.8467
61,female,29.92,3,yes,southeast,30942.1918
34,female,27.5,1,no,southwest,5003.853
20,male,28.025,1,yes,northwest,17560.37975
19,female,28.4,1,no,southwest,2331.519
26,male,30.875,2,no,northwest,3877.30425
29,male,27.94,0,no,southeast,2867.1196
63,male,35.09,0,yes,southeast,47055.5321
54,male,33.63,1,no,northwest,10825.2537
55,female,29.7,2,no,southwest,11881.358
37,male,30.8,0,no,southwest,4646.759
21,female,35.72,0,no,northwest,2404.7338
52,male,32.205,3,no,northeast,11488.31695
60,male,28.595,0,no,northeast,30259.99556
58,male,49.06,0,no,southeast,11381.3254
29,female,27.94,1,yes,southeast,19107.7796
49,female,27.17,0,no,southeast,8601.3293
37,female,23.37,2,no,northwest,6686.4313
44,male,37.1,2,no,southwest,7740.337
18,male,23.75,0,no,northeast,1705.6245
20,female,28.975,0,no,northwest,2257.47525
44,male,31.35,1,yes,northeast,39556.4945
47,female,33.915,3,no,northwest,10115.00885
26,female,28.785,0,no,northeast,3385.39915
19,female,28.3,0,yes,southwest,17081.08
52,female,37.4,0,no,southwest,9634.538
32,female,17.765,2,yes,northwest,32734.1863
38,male,34.7,2,no,southwest,6082.405
59,female,26.505,0,no,northeast,12815.44495
61,female,22.04,0,no,northeast,13616.3586
53,female,35.9,2,no,southwest,11163.568
19,male,25.555,0,no,northwest,1632.56445
20,female,28.785,0,no,northeast,2457.21115
22,female,28.05,0,no,southeast,2155.6815
19,male,34.1,0,no,southwest,1261.442
22,male,25.175,0,no,northwest,2045.68525
54,female,31.9,3,no,southeast,27322.73386
22,female,36,0,no,southwest,2166.732
34,male,22.42,2,no,northeast,27375.90478
26,male,32.49,1,no,northeast,3490.5491
34,male,25.3,2,yes,southeast,18972.495
29,male,29.735,2,no,northwest,18157.876
30,male,28.69,3,yes,northwest,20745.9891
29,female,38.83,3,no,southeast,5138.2567
46,male,30.495,3,yes,northwest,40720.55105
51,female,37.73,1,no,southeast,9877.6077
53,female,37.43,1,no,northwest,10959.6947
19,male,28.4,1,no,southwest,1842.519
35,male,24.13,1,no,northwest,5125.2157
48,male,29.7,0,no,southeast,7789.635
32,female,37.145,3,no,northeast,6334.34355
42,female,23.37,0,yes,northeast,19964.7463
40,female,25.46,1,no,northeast,7077.1894
44,male,39.52,0,no,northwest,6948.7008
48,male,24.42,0,yes,southeast,21223.6758
18,male,25.175,0,yes,northeast,15518.18025
30,male,35.53,0,yes,southeast,36950.2567
50,female,27.83,3,no,southeast,19749.38338
42,female,26.6,0,yes,northwest,21348.706
18,female,36.85,0,yes,southeast,36149.4835
54,male,39.6,1,no,southwest,10450.552
32,female,29.8,2,no,southwest,5152.134
37,male,29.64,0,no,northwest,5028.1466
47,male,28.215,4,no,northeast,10407.08585
20,female,37,5,no,southwest,4830.63
32,female,33.155,3,no,northwest,6128.79745
19,female,31.825,1,no,northwest,2719.27975
27,male,18.905,3,no,northeast,4827.90495
63,male,41.47,0,no,southeast,13405.3903
49,male,30.3,0,no,southwest,8116.68
18,male,15.96,0,no,northeast,1694.7964
35,female,34.8,1,no,southwest,5246.047
24,female,33.345,0,no,northwest,2855.43755
63,female,37.7,0,yes,southwest,48824.45
38,male,27.835,2,no,northwest,6455.86265
54,male,29.2,1,no,southwest,10436.096
46,female,28.9,2,no,southwest,8823.279
41,female,33.155,3,no,northeast,8538.28845
58,male,28.595,0,no,northwest,11735.87905
18,female,38.28,0,no,southeast,1631.8212
22,male,19.95,3,no,northeast,4005.4225
44,female,26.41,0,no,northwest,7419.4779
44,male,30.69,2,no,southeast,7731.4271
36,male,41.895,3,yes,northeast,43753.33705
26,female,29.92,2,no,southeast,3981.9768
30,female,30.9,3,no,southwest,5325.651
41,female,32.2,1,no,southwest,6775.961
29,female,32.11,2,no,northwest,4922.9159
61,male,31.57,0,no,southeast,12557.6053
36,female,26.2,0,no,southwest,4883.866
25,male,25.74,0,no,southeast,2137.6536
56,female,26.6,1,no,northwest,12044.342
18,male,34.43,0,no,southeast,1137.4697
19,male,30.59,0,no,northwest,1639.5631
39,female,32.8,0,no,southwest,5649.715
45,female,28.6,2,no,southeast,8516.829
51,female,18.05,0,no,northwest,9644.2525
64,female,39.33,0,no,northeast,14901.5167
19,female,32.11,0,no,northwest,2130.6759
48,female,32.23,1,no,southeast,8871.1517
60,female,24.035,0,no,northwest,13012.20865
27,female,36.08,0,yes,southeast,37133.8982
46,male,22.3,0,no,southwest,7147.105
28,female,28.88,1,no,northeast,4337.7352
59,male,26.4,0,no,southeast,11743.299
35,male,27.74,2,yes,northeast,20984.0936
63,female,31.8,0,no,southwest,13880.949
40,male,41.23,1,no,northeast,6610.1097
20,male,33,1,no,southwest,1980.07
40,male,30.875,4,no,northwest,8162.71625
24,male,28.5,2,no,northwest,3537.703
34,female,26.73,1,no,southeast,5002.7827
45,female,30.9,2,no,southwest,8520.026
41,female,37.1,2,no,southwest,7371.772
53,female,26.6,0,no,northwest,10355.641
27,male,23.1,0,no,southeast,2483.736
26,female,29.92,1,no,southeast,3392.9768
24,female,23.21,0,no,southeast,25081.76784
34,female,33.7,1,no,southwest,5012.471
53,female,33.25,0,no,northeast,10564.8845
32,male,30.8,3,no,southwest,5253.524
19,male,34.8,0,yes,southwest,34779.615
42,male,24.64,0,yes,southeast,19515.5416
55,male,33.88,3,no,southeast,11987.1682
28,male,38.06,0,no,southeast,2689.4954
58,female,41.91,0,no,southeast,24227.33724
41,female,31.635,1,no,northeast,7358.17565
47,male,25.46,2,no,northeast,9225.2564
42,female,36.195,1,no,northwest,7443.64305
59,female,27.83,3,no,southeast,14001.2867
19,female,17.8,0,no,southwest,1727.785
59,male,27.5,1,no,southwest,12333.828
39,male,24.51,2,no,northwest,6710.1919
40,female,22.22,2,yes,southeast,19444.2658
18,female,26.73,0,no,southeast,1615.7667
31,male,38.39,2,no,southeast,4463.2051
19,male,29.07,0,yes,northwest,17352.6803
44,male,38.06,1,no,southeast,7152.6714
23,female,36.67,2,yes,northeast,38511.6283
33,female,22.135,1,no,northeast,5354.07465
55,female,26.8,1,no,southwest,35160.13457
40,male,35.3,3,no,southwest,7196.867
63,female,27.74,0,yes,northeast,29523.1656
54,male,30.02,0,no,northwest,24476.47851
60,female,38.06,0,no,southeast,12648.7034
24,male,35.86,0,no,southeast,1986.9334
19,male,20.9,1,no,southwest,1832.094
29,male,28.975,1,no,northeast,4040.55825
18,male,17.29,2,yes,northeast,12829.4551
63,female,32.2,2,yes,southwest,47305.305
54,male,34.21,2,yes,southeast,44260.7499
27,male,30.3,3,no,southwest,4260.744
50,male,31.825,0,yes,northeast,41097.16175
55,female,25.365,3,no,northeast,13047.33235
56,male,33.63,0,yes,northwest,43921.1837
38,female,40.15,0,no,southeast,5400.9805
51,male,24.415,4,no,northwest,11520.09985
19,male,31.92,0,yes,northwest,33750.2918
58,female,25.2,0,no,southwest,11837.16
20,female,26.84,1,yes,southeast,17085.2676
52,male,24.32,3,yes,northeast,24869.8368
19,male,36.955,0,yes,northwest,36219.40545
53,female,38.06,3,no,southeast,20462.99766
46,male,42.35,3,yes,southeast,46151.1245
40,male,19.8,1,yes,southeast,17179.522
59,female,32.395,3,no,northeast,14590.63205
45,male,30.2,1,no,southwest,7441.053
49,male,25.84,1,no,northeast,9282.4806
18,male,29.37,1,no,southeast,1719.4363
50,male,34.2,2,yes,southwest,42856.838
41,male,37.05,2,no,northwest,7265.7025
50,male,27.455,1,no,northeast,9617.66245
25,male,27.55,0,no,northwest,2523.1695
47,female,26.6,2,no,northeast,9715.841
19,male,20.615,2,no,northwest,2803.69785
22,female,24.3,0,no,southwest,2150.469
59,male,31.79,2,no,southeast,12928.7911
51,female,21.56,1,no,southeast,9855.1314
40,female,28.12,1,yes,northeast,22331.5668
54,male,40.565,3,yes,northeast,48549.17835
30,male,27.645,1,no,northeast,4237.12655
55,female,32.395,1,no,northeast,11879.10405
52,female,31.2,0,no,southwest,9625.92
46,male,26.62,1,no,southeast,7742.1098
46,female,48.07,2,no,northeast,9432.9253
63,female,26.22,0,no,northwest,14256.1928
59,female,36.765,1,yes,northeast,47896.79135
52,male,26.4,3,no,southeast,25992.82104
28,female,33.4,0,no,southwest,3172.018
29,male,29.64,1,no,northeast,20277.80751
25,male,45.54,2,yes,southeast,42112.2356
22,female,28.82,0,no,southeast,2156.7518
25,male,26.8,3,no,southwest,3906.127
18,male,22.99,0,no,northeast,1704.5681
19,male,27.7,0,yes,southwest,16297.846
47,male,25.41,1,yes,southeast,21978.6769
31,male,34.39,3,yes,northwest,38746.3551
48,female,28.88,1,no,northwest,9249.4952
36,male,27.55,3,no,northeast,6746.7425
53,female,22.61,3,yes,northeast,24873.3849
56,female,37.51,2,no,southeast,12265.5069
28,female,33,2,no,southeast,4349.462
57,female,38,2,no,southwest,12646.207
29,male,33.345,2,no,northwest,19442.3535
28,female,27.5,2,no,southwest,20177.67113
30,female,33.33,1,no,southeast,4151.0287
58,male,34.865,0,no,northeast,11944.59435
41,female,33.06,2,no,northwest,7749.1564
50,male,26.6,0,no,southwest,8444.474
19,female,24.7,0,no,southwest,1737.376
43,male,35.97,3,yes,southeast,42124.5153
49,male,35.86,0,no,southeast,8124.4084
27,female,31.4,0,yes,southwest,34838.873
52,male,33.25,0,no,northeast,9722.7695
50,male,32.205,0,no,northwest,8835.26495
54,male,32.775,0,no,northeast,10435.06525
44,female,27.645,0,no,northwest,7421.19455
32,male,37.335,1,no,northeast,4667.60765
34,male,25.27,1,no,northwest,4894.7533
26,female,29.64,4,no,northeast,24671.66334
34,male,30.8,0,yes,southwest,35491.64
57,male,40.945,0,no,northeast,11566.30055
29,male,27.2,0,no,southwest,2866.091
40,male,34.105,1,no,northeast,6600.20595
27,female,23.21,1,no,southeast,3561.8889
45,male,36.48,2,yes,northwest,42760.5022
64,female,33.8,1,yes,southwest,47928.03
52,male,36.7,0,no,southwest,9144.565
61,female,36.385,1,yes,northeast,48517.56315
52,male,27.36,0,yes,northwest,24393.6224
61,female,31.16,0,no,northwest,13429.0354
56,female,28.785,0,no,northeast,11658.37915
43,female,35.72,2,no,northeast,19144.57652
64,male,34.5,0,no,southwest,13822.803
60,male,25.74,0,no,southeast,12142.5786
62,male,27.55,1,no,northwest,13937.6665
50,male,32.3,1,yes,northeast,41919.097
46,female,27.72,1,no,southeast,8232.6388
24,female,27.6,0,no,southwest,18955.22017
62,male,30.02,0,no,northwest,13352.0998
60,female,27.55,0,no,northeast,13217.0945
63,male,36.765,0,no,northeast,13981.85035
49,female,41.47,4,no,southeast,10977.2063
34,female,29.26,3,no,southeast,6184.2994
33,male,35.75,2,no,southeast,4889.9995
46,male,33.345,1,no,northeast,8334.45755
36,female,29.92,1,no,southeast,5478.0368
19,male,27.835,0,no,northwest,1635.73365
57,female,23.18,0,no,northwest,11830.6072
50,female,25.6,0,no,southwest,8932.084
30,female,27.7,0,no,southwest,3554.203
33,male,35.245,0,no,northeast,12404.8791
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20,male,33.33,0,no,southeast,1391.5287
23,female,28.31,0,yes,northwest,18033.9679
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48,male,35.625,4,no,northeast,10736.87075
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48,male,30.2,2,no,southwest,8968.33
45,male,24.31,5,no,southeast,9788.8659
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30,female,39.05,3,yes,southeast,40932.4295
41,male,28.405,1,no,northwest,6664.68595
29,female,21.755,1,yes,northeast,16657.71745
18,female,40.28,0,no,northeast,2217.6012
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35,male,24.42,3,yes,southeast,19361.9988
53,male,21.4,1,no,southwest,10065.413
24,female,30.1,3,no,southwest,4234.927
48,female,27.265,1,no,northeast,9447.25035
59,female,32.1,3,no,southwest,14007.222
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37,female,38.39,0,yes,southeast,40419.0191
26,male,23.7,2,no,southwest,3484.331
23,male,31.73,3,yes,northeast,36189.1017
29,male,35.5,2,yes,southwest,44585.45587
45,male,24.035,2,no,northeast,8604.48365
27,male,29.15,0,yes,southeast,18246.4955
53,male,34.105,0,yes,northeast,43254.41795
31,female,26.62,0,no,southeast,3757.8448
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50,female,30.115,1,no,northwest,9910.35985
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28,male,30.875,0,no,northwest,3062.50825
37,female,26.4,0,yes,southeast,19539.243
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64,male,37.905,0,no,northwest,14210.53595
58,female,22.77,0,no,southeast,11833.7823
24,male,33.63,4,no,northeast,17128.42608
31,male,27.645,2,no,northeast,5031.26955
39,female,22.8,3,no,northeast,7985.815
47,female,27.83,0,yes,southeast,23065.4207
30,male,37.43,3,no,northeast,5428.7277
18,male,38.17,0,yes,southeast,36307.7983
22,female,34.58,2,no,northeast,3925.7582
23,male,35.2,1,no,southwest,2416.955
33,male,27.1,1,yes,southwest,19040.876
27,male,26.03,0,no,northeast,3070.8087
45,female,25.175,2,no,northeast,9095.06825
57,female,31.825,0,no,northwest,11842.62375
47,male,32.3,1,no,southwest,8062.764
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44,female,36.48,0,no,northeast,12797.20962
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51,male,33.33,3,no,southeast,10560.4917
40,male,32.3,2,no,northwest,6986.697
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35,male,34.32,3,no,southeast,5934.3798
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60,male,36.955,0,no,northeast,12741.16745
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39,female,41.8,0,no,southeast,5662.225
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22,female,23.18,0,no,northeast,2731.9122
53,male,20.9,0,yes,southeast,21195.818
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27,male,28.5,0,yes,northwest,18310.742
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30,female,22.895,1,no,northeast,4719.52405
58,female,33.1,0,no,southwest,11848.141
33,male,24.795,0,yes,northeast,17904.52705
42,female,26.18,1,no,southeast,7046.7222
64,female,35.97,0,no,southeast,14313.8463
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18,male,30.14,0,no,southeast,1131.5066
25,male,25.84,1,no,northeast,3309.7926
46,female,30.8,3,no,southwest,9414.92
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54,male,21.01,2,no,southeast,11013.7119
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23,male,37.1,3,no,southwest,3597.596
47,female,26.125,1,yes,northeast,23401.30575
33,female,35.53,0,yes,northwest,55135.40209
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44,female,29.81,2,no,southeast,8219.2039
60,male,24.32,0,no,northwest,12523.6048
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56,male,31.79,2,yes,southeast,43813.8661
36,male,28.025,1,yes,northeast,20773.62775
41,male,30.78,3,yes,northeast,39597.4072
39,male,21.85,1,no,northwest,6117.4945
63,male,33.1,0,no,southwest,13393.756
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28,female,23.845,2,no,northwest,4719.73655
58,male,34.39,0,no,northwest,11743.9341
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42,male,35.97,2,no,southeast,7160.3303
36,male,31.5,0,no,southwest,4402.233
56,female,28.31,0,no,northeast,11657.7189
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59,female,31.35,0,no,northwest,12622.1795
21,male,31.1,0,no,southwest,1526.312
59,male,24.7,0,no,northeast,12323.936
23,female,32.78,2,yes,southeast,36021.0112
57,female,29.81,0,yes,southeast,27533.9129
53,male,30.495,0,no,northeast,10072.05505
60,female,32.45,0,yes,southeast,45008.9555
51,female,34.2,1,no,southwest,9872.701
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37,female,30.78,0,yes,northeast,37270.1512
61,male,32.3,2,no,northwest,14119.62
46,female,35.53,0,yes,northeast,42111.6647
53,female,23.75,2,no,northeast,11729.6795
49,female,23.845,3,yes,northeast,24106.91255
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25,male,24.13,0,yes,northwest,15817.9857
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47,male,38.94,2,yes,southeast,44202.6536
62,male,32.11,0,no,northeast,13555.0049
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27,male,32.585,3,no,northeast,4846.92015
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63,male,39.8,3,no,southwest,15170.069
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22,male,28.31,1,no,northwest,2639.0429
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59,female,26.695,3,no,northwest,14382.70905
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42,male,31.255,0,no,northwest,6358.77645
25,male,29.7,3,yes,southwest,19933.458
57,male,18.335,0,no,northeast,11534.87265
51,male,42.9,2,yes,southeast,47462.894
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54,male,30.8,1,yes,southeast,41999.52
24,male,26.79,1,no,northwest,12609.88702
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48,male,36.67,1,no,northwest,28468.91901
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44,male,25.365,1,no,northwest,7518.02535
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39,female,34.1,3,no,southwest,7418.522
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48,male,29.6,0,no,southwest,21232.18226
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47,male,28.215,3,yes,northwest,24915.22085
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22,female,30.4,0,yes,northwest,33907.548
50,female,33.7,4,no,southwest,11299.343
18,female,31.35,4,no,northeast,4561.1885
51,female,34.96,2,yes,northeast,44641.1974
22,male,33.77,0,no,southeast,1674.6323
52,female,30.875,0,no,northeast,23045.56616
25,female,33.99,1,no,southeast,3227.1211
33,female,19.095,2,yes,northeast,16776.30405
53,male,28.6,3,no,southwest,11253.421
29,male,38.94,1,no,southeast,3471.4096
58,male,36.08,0,no,southeast,11363.2832
37,male,29.8,0,no,southwest,20420.60465
54,female,31.24,0,no,southeast,10338.9316
49,female,29.925,0,no,northwest,8988.15875
50,female,26.22,2,no,northwest,10493.9458
26,male,30,1,no,southwest,2904.088
45,male,20.35,3,no,southeast,8605.3615
54,female,32.3,1,no,northeast,11512.405
38,male,38.39,3,yes,southeast,41949.2441
48,female,25.85,3,yes,southeast,24180.9335
28,female,26.315,3,no,northwest,5312.16985
23,male,24.51,0,no,northeast,2396.0959
55,male,32.67,1,no,southeast,10807.4863
41,male,29.64,5,no,northeast,9222.4026
25,male,33.33,2,yes,southeast,36124.5737
33,male,35.75,1,yes,southeast,38282.7495
30,female,19.95,3,no,northwest,5693.4305
23,female,31.4,0,yes,southwest,34166.273
46,male,38.17,2,no,southeast,8347.1643
53,female,36.86,3,yes,northwest,46661.4424
27,female,32.395,1,no,northeast,18903.49141
23,female,42.75,1,yes,northeast,40904.1995
63,female,25.08,0,no,northwest,14254.6082
55,male,29.9,0,no,southwest,10214.636
35,female,35.86,2,no,southeast,5836.5204
34,male,32.8,1,no,southwest,14358.36437
19,female,18.6,0,no,southwest,1728.897
39,female,23.87,5,no,southeast,8582.3023
27,male,45.9,2,no,southwest,3693.428
57,male,40.28,0,no,northeast,20709.02034
52,female,18.335,0,no,northwest,9991.03765
28,male,33.82,0,no,northwest,19673.33573
50,female,28.12,3,no,northwest,11085.5868
44,female,25,1,no,southwest,7623.518
26,female,22.23,0,no,northwest,3176.2877
33,male,30.25,0,no,southeast,3704.3545
19,female,32.49,0,yes,northwest,36898.73308
50,male,37.07,1,no,southeast,9048.0273
41,female,32.6,3,no,southwest,7954.517
52,female,24.86,0,no,southeast,27117.99378
39,male,32.34,2,no,southeast,6338.0756
50,male,32.3,2,no,southwest,9630.397
52,male,32.775,3,no,northwest,11289.10925
60,male,32.8,0,yes,southwest,52590.82939
20,female,31.92,0,no,northwest,2261.5688
55,male,21.5,1,no,southwest,10791.96
42,male,34.1,0,no,southwest,5979.731
18,female,30.305,0,no,northeast,2203.73595
58,female,36.48,0,no,northwest,12235.8392
43,female,32.56,3,yes,southeast,40941.2854
35,female,35.815,1,no,northwest,5630.45785
48,female,27.93,4,no,northwest,11015.1747
36,female,22.135,3,no,northeast,7228.21565
19,male,44.88,0,yes,southeast,39722.7462
23,female,23.18,2,no,northwest,14426.07385
20,female,30.59,0,no,northeast,2459.7201
32,female,41.1,0,no,southwest,3989.841
43,female,34.58,1,no,northwest,7727.2532
34,male,42.13,2,no,southeast,5124.1887
30,male,38.83,1,no,southeast,18963.17192
18,female,28.215,0,no,northeast,2200.83085
41,female,28.31,1,no,northwest,7153.5539
35,female,26.125,0,no,northeast,5227.98875
57,male,40.37,0,no,southeast,10982.5013
29,female,24.6,2,no,southwest,4529.477
32,male,35.2,2,no,southwest,4670.64
37,female,34.105,1,no,northwest,6112.35295
18,male,27.36,1,yes,northeast,17178.6824
43,female,26.7,2,yes,southwest,22478.6
56,female,41.91,0,no,southeast,11093.6229
38,male,29.26,2,no,northwest,6457.8434
29,male,32.11,2,no,northwest,4433.9159
22,female,27.1,0,no,southwest,2154.361
52,female,24.13,1,yes,northwest,23887.6627
40,female,27.4,1,no,southwest,6496.886
23,female,34.865,0,no,northeast,2899.48935
31,male,29.81,0,yes,southeast,19350.3689
42,female,41.325,1,no,northeast,7650.77375
24,female,29.925,0,no,northwest,2850.68375
25,female,30.3,0,no,southwest,2632.992
48,female,27.36,1,no,northeast,9447.3824
23,female,28.49,1,yes,southeast,18328.2381
45,male,23.56,2,no,northeast,8603.8234
20,male,35.625,3,yes,northwest,37465.34375
62,female,32.68,0,no,northwest,13844.7972
43,female,25.27,1,yes,northeast,21771.3423
23,female,28,0,no,southwest,13126.67745
31,female,32.775,2,no,northwest,5327.40025
41,female,21.755,1,no,northeast,13725.47184
58,female,32.395,1,no,northeast,13019.16105
48,female,36.575,0,no,northwest,8671.19125
31,female,21.755,0,no,northwest,4134.08245
19,female,27.93,3,no,northwest,18838.70366
19,female,30.02,0,yes,northwest,33307.5508
41,male,33.55,0,no,southeast,5699.8375
40,male,29.355,1,no,northwest,6393.60345
31,female,25.8,2,no,southwest,4934.705
37,male,24.32,2,no,northwest,6198.7518
46,male,40.375,2,no,northwest,8733.22925
22,male,32.11,0,no,northwest,2055.3249
51,male,32.3,1,no,northeast,9964.06
18,female,27.28,3,yes,southeast,18223.4512
35,male,17.86,1,no,northwest,5116.5004
59,female,34.8,2,no,southwest,36910.60803
36,male,33.4,2,yes,southwest,38415.474
37,female,25.555,1,yes,northeast,20296.86345
59,male,37.1,1,no,southwest,12347.172
36,male,30.875,1,no,northwest,5373.36425
39,male,34.1,2,no,southeast,23563.01618
18,male,21.47,0,no,northeast,1702.4553
52,female,33.3,2,no,southwest,10806.839
27,female,31.255,1,no,northwest,3956.07145
18,male,39.14,0,no,northeast,12890.05765
40,male,25.08,0,no,southeast,5415.6612
29,male,37.29,2,no,southeast,4058.1161
46,female,34.6,1,yes,southwest,41661.602
38,female,30.21,3,no,northwest,7537.1639
30,female,21.945,1,no,northeast,4718.20355
40,male,24.97,2,no,southeast,6593.5083
50,male,25.3,0,no,southeast,8442.667
20,female,24.42,0,yes,southeast,26125.67477
41,male,23.94,1,no,northeast,6858.4796
33,female,39.82,1,no,southeast,4795.6568
38,male,16.815,2,no,northeast,6640.54485
42,male,37.18,2,no,southeast,7162.0122
56,male,34.43,0,no,southeast,10594.2257
58,male,30.305,0,no,northeast,11938.25595
52,male,34.485,3,yes,northwest,60021.39897
20,female,21.8,0,yes,southwest,20167.33603
54,female,24.605,3,no,northwest,12479.70895
58,male,23.3,0,no,southwest,11345.519
45,female,27.83,2,no,southeast,8515.7587
26,male,31.065,0,no,northwest,2699.56835
63,female,21.66,0,no,northeast,14449.8544
58,female,28.215,0,no,northwest,12224.35085
37,male,22.705,3,no,northeast,6985.50695
25,female,42.13,1,no,southeast,3238.4357
52,male,41.8,2,yes,southeast,47269.854
64,male,36.96,2,yes,southeast,49577.6624
22,female,21.28,3,no,northwest,4296.2712
28,female,33.11,0,no,southeast,3171.6149
18,male,33.33,0,no,southeast,1135.9407
28,male,24.3,5,no,southwest,5615.369
45,female,25.7,3,no,southwest,9101.798
33,male,29.4,4,no,southwest,6059.173
18,female,39.82,0,no,southeast,1633.9618
32,male,33.63,1,yes,northeast,37607.5277
24,male,29.83,0,yes,northeast,18648.4217
19,male,19.8,0,no,southwest,1241.565
20,male,27.3,0,yes,southwest,16232.847
40,female,29.3,4,no,southwest,15828.82173
34,female,27.72,0,no,southeast,4415.1588
42,female,37.9,0,no,southwest,6474.013
51,female,36.385,3,no,northwest,11436.73815
54,female,27.645,1,no,northwest,11305.93455
55,male,37.715,3,no,northwest,30063.58055
52,female,23.18,0,no,northeast,10197.7722
32,female,20.52,0,no,northeast,4544.2348
28,male,37.1,1,no,southwest,3277.161
41,female,28.05,1,no,southeast,6770.1925
43,female,29.9,1,no,southwest,7337.748
49,female,33.345,2,no,northeast,10370.91255
64,male,23.76,0,yes,southeast,26926.5144
55,female,30.5,0,no,southwest,10704.47
24,male,31.065,0,yes,northeast,34254.05335
20,female,33.3,0,no,southwest,1880.487
45,male,27.5,3,no,southwest,8615.3
26,male,33.915,1,no,northwest,3292.52985
25,female,34.485,0,no,northwest,3021.80915
43,male,25.52,5,no,southeast,14478.33015
35,male,27.61,1,no,southeast,4747.0529
26,male,27.06,0,yes,southeast,17043.3414
57,male,23.7,0,no,southwest,10959.33
22,female,30.4,0,no,northeast,2741.948
32,female,29.735,0,no,northwest,4357.04365
39,male,29.925,1,yes,northeast,22462.04375
25,female,26.79,2,no,northwest,4189.1131
48,female,33.33,0,no,southeast,8283.6807
47,female,27.645,2,yes,northwest,24535.69855
18,female,21.66,0,yes,northeast,14283.4594
18,male,30.03,1,no,southeast,1720.3537
61,male,36.3,1,yes,southwest,47403.88
47,female,24.32,0,no,northeast,8534.6718
28,female,17.29,0,no,northeast,3732.6251
36,female,25.9,1,no,southwest,5472.449
20,male,39.4,2,yes,southwest,38344.566
44,male,34.32,1,no,southeast,7147.4728
38,female,19.95,2,no,northeast,7133.9025
19,male,34.9,0,yes,southwest,34828.654
21,male,23.21,0,no,southeast,1515.3449
46,male,25.745,3,no,northwest,9301.89355
58,male,25.175,0,no,northeast,11931.12525
20,male,22,1,no,southwest,1964.78
18,male,26.125,0,no,northeast,1708.92575
28,female,26.51,2,no,southeast,4340.4409
33,male,27.455,2,no,northwest,5261.46945
19,female,25.745,1,no,northwest,2710.82855
45,male,30.36,0,yes,southeast,62592.87309
62,male,30.875,3,yes,northwest,46718.16325
25,female,20.8,1,no,southwest,3208.787
43,male,27.8,0,yes,southwest,37829.7242
42,male,24.605,2,yes,northeast,21259.37795
24,female,27.72,0,no,southeast,2464.6188
29,female,21.85,0,yes,northeast,16115.3045
32,male,28.12,4,yes,northwest,21472.4788
25,female,30.2,0,yes,southwest,33900.653
41,male,32.2,2,no,southwest,6875.961
42,male,26.315,1,no,northwest,6940.90985
33,female,26.695,0,no,northwest,4571.41305
34,male,42.9,1,no,southwest,4536.259
19,female,34.7,2,yes,southwest,36397.576
30,female,23.655,3,yes,northwest,18765.87545
18,male,28.31,1,no,northeast,11272.33139
19,female,20.6,0,no,southwest,1731.677
18,male,53.13,0,no,southeast,1163.4627
35,male,39.71,4,no,northeast,19496.71917
39,female,26.315,2,no,northwest,7201.70085
31,male,31.065,3,no,northwest,5425.02335
62,male,26.695,0,yes,northeast,28101.33305
62,male,38.83,0,no,southeast,12981.3457
42,female,40.37,2,yes,southeast,43896.3763
31,male,25.935,1,no,northwest,4239.89265
61,male,33.535,0,no,northeast,13143.33665
42,female,32.87,0,no,northeast,7050.0213
51,male,30.03,1,no,southeast,9377.9047
23,female,24.225,2,no,northeast,22395.74424
52,male,38.6,2,no,southwest,10325.206
57,female,25.74,2,no,southeast,12629.1656
23,female,33.4,0,no,southwest,10795.93733
52,female,44.7,3,no,southwest,11411.685
50,male,30.97,3,no,northwest,10600.5483
18,female,31.92,0,no,northeast,2205.9808
18,female,36.85,0,no,southeast,1629.8335
21,female,25.8,0,no,southwest,2007.945
61,female,29.07,0,yes,northwest,29141.3603

三、模型構建

        我們定義六個維度X1到X6,分別代表age到region。其中給Xn設定一個βn作為模型變數。定義Y表示charges。

四、使用R語言求解模型

        我們先準備好insurance.csv資料檔案放入RStudio工作空間中。開啟RStudio。

        編輯程式碼如下:

insurance <- read.csv("insurance.csv", stringsAsFactors = TRUE)
str(insurance)

#既然因變數是charges,我們就來看一下它是如何分佈的
summary(insurance$charges)
hist(insurance$charges)

table(insurance$region)
cor(insurance[c("age","bmi","children","charges")])
pairs(insurance[c("age","bmi","children","charges")])

library("psych")
pairs.panels(insurance[c("age","bmi","children","charges")])

ins_model <- lm(charges ~ age + children + bmi + sex + smoker + region, data=insurance)
ins_model <- lm(charges ~ . , data=insurance)
ins_model
summary(ins_model)

insurance$age2 <- insurance$age^2
insurance$bmi30 <- ifelse(insurance$bmi >= 30, 1, 0)

ins_models <- lm(charges ~ age + age2 + children + bmi + sex + bmi30*smoker + region , data=insurance)
summary(ins_models)

五、程式碼分析

1、讀取檔案

         執行下方程式碼,讀取歷史資料檔案。

         insurance <- read.csv("insurance.csv", stringsAsFactors = TRUE)

        結果如下圖,我們已經將insurance.csv內容讀取到了變數insurance中。

        

2、轉換資料型別

        執行下方命令將insurance中資料轉換為因子型別。

        str(insurance)

        執行後結果如下

       

3、 分析報銷情況

        執行下方命令分析報銷情況

        summary(insurance$charges)

        執行後結果如下圖

       

        其中紅框所示為執行結果,其由左至右依次顯示最小值數、1/4位數、中位數、平均值、3/4位數、最大數。

4、檢視柱狀圖

        執行下方命令檢視柱狀圖

        hist(insurance$charges)

        執行後結果如下圖

       

        我們可以看到紅框所示為對報銷情況統計的柱狀圖。

5、檢視地區分佈

       執行下方命令,檢視地區分佈情況

        table(insurance$region)

        執行結果如下圖

       

       我們可以看出,東北、戲本、東南、西南人數樣本分佈還是比較均勻的。

6、求相關係數

        執行下方命令,檢視維度之間相關係數

        cor(insurance[c("age","bmi","children","charges")])

        執行結果如下圖

       

         從圖示表中可以看到年齡、肥胖係數、孩子數量、報銷費用之間的相關係數

7、獲取散點矩陣圖

        執行下方命令,檢視維度之間的散點矩陣圖

        pairs(insurance[c("age","bmi","children","charges")])

        執行結果如下圖

8、引入第三方軟體包,求解相關係數及其散點矩陣圖

        執行下方操作

        8.1、如下圖引入第三方軟體包

        8.2、執行下方命令

        library("psych")
        pairs.panels(insurance[c("age","bmi","children","charges")])

       

        簡單分析一下圖中資料,

        以左上到右下為中軸線,上半部分為各個維度之間的相關係數。相關係數越趨近於1代表越正相關,越趨近於-1代表越負相關,越趨近於0代表不相關。因此我們可以利用相關係數進行降維,將一些不相關的維度剔除。

8.3、執行下方命令

        ins_model <- lm(charges ~ age + children + bmi + sex + smoker + region, data=insurance)

        或

        ins_model <- lm(charges ~ . , data=insurance)
        得到下圖所示結果